Hybrid Natural Admittance Control for laparoscopic surgery
Aaron M. Deal, Der-Lin Chow, Wyatt S. Newman
- Year
- 2012
- Citations
- 8
Abstract
A limitation of robotic surgery is deprivation of sensation of contact forces. Gentle interactions with tissue are desired, but at the same time kinematic constraints of the access portal must be obeyed. A new combination of previous algorithms of hybrid force/position control and Natural Admittance Control is described that achieves these objectives. This new algorithm is compared to a variation of Natural Admittance Control to show the need for the merger of two known algorithms. The hybrid controller is shown to be 3.5 times stiffer than the pure NAC controller in conforming to the portal constraint, without reducing tool tip responsiveness.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002